Implement AI analysis trigger endpoint and refactor related components

- Added a new endpoint to trigger on-demand agentic analysis for tenders via the AI service.
- Introduced `TriggerAIAnalyze` method in the `TenderHandler` to handle requests and responses for AI analysis.
- Updated the `tenderService` to include `TriggerAIAnalyze` method, which validates input and interacts with the AI summarizer client.
- Enhanced the `AIAnalyzeResponse` and `AIAnalyzeDocument` structures to support the new analysis feature.
- Refactored the `DocumentSummarizationWorker` and `TranslationWorker` to remove deprecated MinIO dependencies, streamlining the AI service interactions.

This update improves the functionality of the tender management system by allowing users to trigger AI analysis on-demand, enhancing the overall user experience and system capabilities.

internal/tender/form.go

@@ -573,3 +573,23 @@ type AIDocumentSummary struct {
 	SummaryModel string `json:"summary_model"`
 	Error        string `json:"error,omitempty"`
 }
+
+// AIAnalyzeResponse represents the response for on-demand agentic analysis.
+type AIAnalyzeResponse struct {
+	ContractFolderID    string              `json:"contract_folder_id"`
+	NoticePublicationID string              `json:"notice_publication_id"`
+	Summary             string              `json:"summary"`
+	Documents           []AIAnalyzeDocument `json:"documents"`
+	ToolCallsLog        []string            `json:"tool_calls_log"`
+	Iterations          int                 `json:"iterations"`
+	Model               string              `json:"model"`
+}
+
+// AIAnalyzeDocument describes one document referenced during analysis.
+type AIAnalyzeDocument struct {
+	Filename     string `json:"filename"`
+	SizeBytes    int64  `json:"size_bytes"`
+	TimesRead    int    `json:"times_read"`
+	TimesQueried int    `json:"times_queried"`
+	Description  string `json:"description"`
+}